Cesar Montenegro

As a Data Scientist at BLUETAB, I develop and deploy machine learning models with a focus on Natural Language Processing and prompt engineering. I utilize AWS services for scalable model deployment and performance optimization, employing techniques like Large Language Models and Retrieval Augmented Generation.

As a full-time researcher, I developed NLP modules for the EU-funded Empathic project, integrating advanced AI technologies like transformers and Docker-based systems. My research contributed to virtual coaching systems for elderly healthcare, culminating in my PhD thesis.

In my role as a Senior Data Scientist at ODI, I led research projects utilizing AI to analyze satellite data for illegal fishing detection. I developed classifiers using LSTM, CNN, and Random Forest techniques, contributing to industry standards through published results.

In my role as an Intelligent Software Engineer, I worked on projects for industrial applications, focusing on robotics and photogrammetry systems for the machine tool and railway industries, utilizing Python and various AI techniques.

As a Diagnosis & Big Data Engineer, I applied AI and optimization techniques in predictive maintenance for trains and wind turbines. My work focused on time-series analysis and cloud-based tools using AWS and MySQL.

Pursuing a PhD in Data Science, focusing on Natural Language Processing and advanced machine learning techniques. Developed NLP modules for various projects, contributing to research and industry standards.

Completed a Master's degree in Industry AI Research, focusing on advanced AI techniques and their applications in various industries.

Earned a Bachelor's degree in Computer Engineering, covering foundational topics in computer science and engineering principles.